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Probabilistic Detection of Rollover Risk of Heavy Vehicles
Technical Paper
2008-01-0349
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
The aim of this paper is to elaborate a reliable rollover risk evaluator of a heavy vehicle in order to supply reliable information to the warning or control system. This is done by calculating the probability of rollover risk. The evaluation is based on the load transfer ratio between the right and left sides. Sensitivity analysis is given to find the most influential parameters on the risk. Then, probabilistic modeling of these parameters is obtained by using Maximum Entropy Principle. After that, Unscented Kalman Filter is developed to estimate all dynamic states and to identify the height center of gravity that cannot be directly measured. Finally, the obtained probability laws are used in a reliability method to approximate the probability of rollover risk.
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Citation
Sellami, Y., Imine, H., El-Hadri, A., and Cadiou, J., "Probabilistic Detection of Rollover Risk of Heavy Vehicles," SAE Technical Paper 2008-01-0349, 2008, https://doi.org/10.4271/2008-01-0349.Also In
References
- Evans J. L. Batzer S. A. Andrews S. B. Evaluation of heavy truck rollover accidents, 19th International Safety Conference on the Enhanced Safety of Vehicles, Paper No. 05-0140-W Washington, D. C., June 6-9 2005
- Bilan 2004 Sécurité routiére en France. Institut National de Recherche sur les Transports et leur Sécurité (INRETS) July 2005
- Gaspar P. Szabo Z. Bokor J. The Design of an Integrated Control System in Heavy Vehicles Based on an LPV Method, Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference 2005 2722 6727 Seville, Spain December 12-15 2005
- Ackermann J. Odenthal D. Damping of vehicle roll dynamics by speed-scheduled active steering Proc. European Control Conf Karlsruhe Aug 31 Sept 3 1999
- Sanchez E.N. Ricalde L.J. Langari R. Shahmirzadi D. Rollover Prediction and Control in Heavy Vehicles via Recurrent Neural Networks, 43rd IEEE Conference on Decision and Control 5210 5215 December 14-17 2004 Atlantis, Paradise Island, Bahamas
- Johansson B. Gafvert M. Untripped SUV Rollover Detection and Prevention, 43rd IEEE Conference on Decision and Control 5461 5466 Atlantis, Paradise Island, Bahamas December 14-17 2004
- Chevaliera L. Cloupetb S. Soize C. Probabilistic model for random uncertainties in steady state rolling contact, WEAR 258 2005 1543 1554
- Lagarias J.C. Reeds J.A. Wright M.H. Wright P.E. Convergence Properties of the Nelder-Mead Simplex Method in Low Dimensions SIAM Journal of Optimization 9 1 112 147 1998
- Dakhlallah J. Imine H. Sellami Y. Bellot D. Heavy Vehicle State Estimation and Rollover Risk Evaluation Using Kalman Filter and Sliding Mode Observer European Control Conference 2007 Greece 2-5 July 2007
- Melchers R.E. Structural Reliability Analysis and Prediction Wiley 1999
- Lemaire M. Fiabilité des structures Couplage mécano-fiabiliste statique Lavoisier Hermes 2005
- Zhao Y.G. Ono T Moment methods for structural reliability, Structural Safety 23 2001 47 75 LCPC-DESE58 Boulevard Lefebvre, 75732 Paris Cedex 15 France